The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Anonymous Feature-Based Terrain Relative Navigation
Abstract
Terrain relative navigation is a technique that uses observations of the terrain surrounding a vehicle to provide useful updates within a navigation filter. Standard approaches to these filtering problems require explicit specification of the measurement generation process in order to reliably produce updated state estimates. However, nonstandard measurement types, such as those provided by terrain cameras, contain measurement errors that cannot be formally accounted for in the standard approaches, such as missed detections, misidentification of features, and spurious returns. This Paper derives a new measurement likelihood and corresponding update that formally account for these nonstandard error sources, and Monte Carlo analysis indicates that the new update produces a significantly more reliable estimator in the presence of inevitable flaws in the collected data.
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“On the other hand, Visual Odometry (VO) paradigms which do not require extensive cataloging for TRN have also majorly advanced the capabilities of autonomous systems and vastly improved robustness to the prevalent sources of error17,18.”
From Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning (2024) · cites this paper as [18]
Citations
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Research works printed but not linked: 2
- Savage P. G., 2000, Strapdown Analytics
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Cited by
Sorted by citations
Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning
Kim, I., & Singh, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-81377-z · Cited by 6
Autonomous Navigation via a Cascading CNN Framework Leveraging Synthetic Terrain Images
Rolen, A., & Singh, S. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-47969-4_41 · Cited by 2
Metadata
- Authors
- McCabe, J. S., & DeMars, K. J.
- Affiliations
- Johnson Space Center (US)
- Missouri University of Science and Technology (US)
- Venue
- Journal of Guidance, Control, and Dynamics
- Published
- 2020-03
- Volume
- 43
- Issue
- 3
- Pages
- 410-421
- ISSN
- 0731-5090 (ISSN-L)
- 1533-3884
- OpenAlex
- W2970123004
- Cited by
- 17
- References
- 17
- Citations by year
- 2025: 5 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 2
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Guidance Control and Dynamics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
- Keywords
- terrain relative navigation, missed detection, state estimation, navigation filter, measurement error
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